Abstract:
The paper deals with the calibration of industrial robots, a very important issue in robotics. A methodology to improve accuracy obtained by classical parametric methodol...Show MoreMetadata
Abstract:
The paper deals with the calibration of industrial robots, a very important issue in robotics. A methodology to improve accuracy obtained by classical parametric methodologies is proposed. The method is based on the application of a neural network together with a classical parametric model of the robot kinematic. Due to this combination of methodologies the approach could be defined as "hybrid neuro-parametric method". Experimental results prove an improvement in the robot accuracy.
Date of Conference: 16-20 July 2003
Date Added to IEEE Xplore: 18 August 2003
Print ISBN:0-7803-7866-0